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Inbound tourism demand forecasting framework based on fuzzy time series and advanced optimization algorithm
16 references·0 citing·39 second hop
Inbound tourism demand forecasting framework based on fuzzy time series and advanced optimization algorithm (2020)Inbound tourism demand forecasting framew…Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques (2019)Digital currency forecasting …Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index (2018)Effective tourist volume fore…Gravity models for tourism demand: theory and use (2014)Gravity models for tourism de…A meta-analysis of international tourism demand forecasting and implications for practice (2014)A meta-analysis of internatio…Forecasting tourism demand based on empirical mode decomposition and neural network (2011)Forecasting tourism demand ba…Combining linear and nonlinear model in forecasting tourism demand (2011)Combining linear and nonlinea…Support vector regression with genetic algorithms in forecasting tourism demand (2006)Support vector regression wit…Fuzzy time-series based on adaptive expectation model for TAIEX forecasting (2006)Fuzzy time-series based on ad…Developing regional tourism in China: The potential for activating business clusters in a socialist market economy (2005)Developing regional tourism i…Weighted fuzzy time series models for TAIEX forecasting (2004)Weighted fuzzy time series mo…Time series forecasts of international travel demand for Australia (2002)Time series forecasts of inte…A practitioners guide to time-series methods for tourism demand forecasting — a case study of Durban, South Africa (2001)A practitioners guide to time…Fuzzy sets (1996)Fuzzy setsForecasting enrollments with fuzzy time series — part II (1994)Forecasting enrollments with …Forecasting enrollments with fuzzy time series — Part I (1993)Forecasting enrollments with …Fuzzy sets (1965)Fuzzy setsApplied Economic Forecasting (1967)Time Series Analysis: Forecasting and Control (1977)Seasonal integration and cointegration (1990)Determinants of Tourist Arrivals in Africa: A Panel Data Regression Analysis (2005)Seasonality research: the state of the art (2005)Forecasting tourism recovery amid COVID-19 (2021)Application of support vector machines in financial time series forecasting (2001)Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention (2002)Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm (2014)New developments in tourism and hotel demand modeling and forecasting (2017)An Almost Ideal Demand System (1980)Time series forecasting using a hybrid ARIMA and neural network model (2003)Another look at measures of forecast accuracy (2006)Forecasting Destination Weekly Hotel Occupancy with Big Data (2016)Forecasting tourism demand with multisource big data (2020)The Gravity Equation in International Trade: Some Microeconomic Foundations and Empirical Evidence (1985)National Borders Matter: Canada-U.S. Regional Trade Patterns. (1995)Gravity with Gravitas: A Solution to the Border Puzzle (2003)An empirical analysis of the influence of macroeconomic determinants on World tourism demand (2017)Regional economic development and tourism: A literature review to highlight future directions for regional tourism research (2019)Impacts of COVID-19 on tourists' destination preferences: Evidence from China (2021)Forecasting enrollments based on fuzzy time series (1996)The application of neural networks to forecast fuzzy time series (2005)Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm (2010)The concept of a linguistic variable and its application to approximate reasoning—II (1975)Effective lengths of intervals to improve forecasting in fuzzy time series (2001)Multifractal detrended fluctuation analysis of nonstationary time series (2002)Financial time series forecasting using support vector machines (2003)Predicting stock market index using fusion of machine learning techniques (2014)Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods (2020)Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization (2021)Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey (2021)Extensions of the TOPSIS for group decision-making under fuzzy environment (2000)An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field (2010)Science mapping software tools: Review, analysis, and cooperative study among tools (2011)Family resemblances: Studies in the internal structure of categories (1975)Basic objects in natural categories (1976)Soft set theory—First results (1999)FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES (2002)
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165 cited
  • 2011Combining linear and nonlinear model in forecasting tourism demand163 cited
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